粗集
基于优势度的粗糙集方法
计算机科学
关系(数据库)
数据挖掘
属性域
优势(遗传学)
还原(数学)
人工智能
数学
几何学
生物化学
基因
化学
作者
Hongmei Chen,Tianrui Li,Chuan Luo,Jie Hu
标识
DOI:10.1007/978-3-319-25754-9_8
摘要
In real-life applications, partial order may exist in the domain of attributes and different data types often coexist in an decision system. Dominance-based rough set approach has been used widely in multi-attribute and multi-criteria decision by using the dominating relation. Neighborhood rough set aims to deal with hybrid data types. But the preference relation in the context of neighborhood rough set has not been taken into consideration. In this paper, a novel rough set model, Dominance-based Neighborhood Rough Sets (DNRS), is proposed which aims to process a decision system with hybrid data types where the partial order between objects is taken into consideration. The properties of DNRS are studied. Attribute reduction under DNRS is investigated.
科研通智能强力驱动
Strongly Powered by AbleSci AI